首页|Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin (vol 590, 125356, 2020)
Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin (vol 590, 125356, 2020)
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NSTL
Elsevier
This corrigendum is related to Bretreger et al. (2020) where a range of Landsat 5, 7 and 8 observations were used to monitor irrigated cropping conditions and using these observations in three modelling approaches with meteorological data to quantify the irrigation-area level water use (i.e., actual evapotranspiration (AET))., One of the remote sensing AET methods was CMRSET (Guerschman et al., 2009) and in a response to Bretreger et al. (2020) the authors Pena-Arancibia et al. (2021) clarified the implementation of CMRSET by using the Landsat SWIR2 band (2090 - 2350 nm wavelength). Using this Landsat band matched the naming of the band used in the CMRSET development with MODIS (i.e., SWIR2) despite having a different wavelength (1628 - 1652 nm wavelength) between the two remote sensing instruments. The SWIR bands from MODIS and Landsat may match in naming but their wavelengths differ. This means that the Landsat SWIR1 band (1550 - 1750 nm wavelength) should have been used when implementing CMRSET with Landsat to optimally represent the CMRSET method rather than using Landsat SWIR2 (2090 - 2350 nm wavelength) as performed in Bretreger et al. (2020). The analysis contained in this corrigendum acknowledges this mistake and shows the impact of this on the estimated irrigation results, demonstrating that CMRSET is a viable option for the AET component of methodologies that are attempting to quantify regional irrigation water use. Other results originally documented in Bretreger et al. (2020), specifically those generated using the IrriSat and Kamble AET methods, were not impacted by the sub-optimal use of the Landsat SWIR2 band.
NSTL
Elsevier
